---
title: "Practical Projects and Comprehensive Applications"
description: "Go practical project cases with JS comparison, covering Web API, microservices, concurrent data processing, cloud-native, etc."
---

# Practical Projects and Comprehensive Applications

This module helps you apply Go language knowledge to practical development through multiple typical projects, with comparisons to JavaScript. Each project includes project structure explanation, JS/Go comparison code, performance analysis, and practical suggestions.

## 1. Web API Project

### Project Structure
- Routes and Controllers
- Database Integration
- Middleware

<UniversalEditor title="User Management API" compare={true}>
```javascript !! js
// JavaScript: Express implementation of simple user API
const express = require('express');
const app = express();
app.use(express.json());
app.get('/users/:id', (req, res) => {
  // Query user
  res.json({ id: req.params.id, name: 'Zhang San' });
});
app.listen(3000);
```

```go !! go
// Go: Gin implementation of simple user API
package main
import (
  "github.com/gin-gonic/gin"
)
func main() {
  r := gin.Default()
  r.GET("/users/:id", func(c *gin.Context) {
    c.JSON(200, gin.H{"id": c.Param("id"), "name": "Zhang San"})
  })
  r.Run(":3000")
}
```
</UniversalEditor>

### Performance Analysis
- Go starts fast and handles concurrency efficiently, suitable for high-concurrency API services
- JS (Node.js) single-threaded event loop, suitable for IO-intensive tasks

### Exercises
- Implement JWT authentication API with Go
- Implement pagination query with JS

---

## 2. Microservices Project

### Project Structure
- gRPC Services
- Service Registration and Discovery
- Configuration Center

<UniversalEditor title="gRPC User Service" compare={true}>
```javascript !! js
// JavaScript: gRPC service (@grpc/grpc-js)
// ... omitted, see module-08-microservices ...
```

```go !! go
// Go: gRPC service implementation
// ... omitted, see module-08-microservices ...
```
</UniversalEditor>

### Performance Analysis
- Go has native gRPC support with efficient serialization
- JS has rich ecosystem, suitable for rapid prototyping

### Exercises
- Implement service health check with Go
- Implement service registration with JS

---

## 3. Concurrent Data Processing Project

### Project Structure
- Multi-task Concurrent Processing
- Result Aggregation

<UniversalEditor title="Concurrent Data Processing" compare={true}>
```javascript !! js
// JavaScript: Promise.all concurrent processing
const tasks = [1,2,3].map(i => fetch(`/api/${i}`));
Promise.all(tasks).then(console.log);
```

```go !! go
// Go: Goroutine + Channel concurrent processing
package main
import (
  "fmt"
  "sync"
)
func main() {
  var wg sync.WaitGroup
  results := make(chan int, 3)
  for i := 1; i <= 3; i++ {
    wg.Add(1)
    go func(i int) {
      defer wg.Done()
      // Simulate data processing
      results <- i * 10
    }(i)
  }
  wg.Wait()
  close(results)
  for r := range results {
    fmt.Println(r)
  }
}
```
</UniversalEditor>

### Performance Analysis
- Go's concurrency model is more suitable for CPU-intensive tasks
- JS concurrency is suitable for IO-intensive tasks

### Exercises
- Implement worker pool with Go
- Implement concurrent rate limiting with JS

---

## 4. Cloud-Native Application Project

### Project Structure
- Docker Containerization
- Kubernetes Deployment
- Logging and Monitoring

<UniversalEditor title="Dockerfile Comparison" compare={true}>
```javascript !! js
# Node.js Dockerfile
FROM node:18
WORKDIR /app
COPY . .
RUN npm install
CMD ["node", "index.js"]
```

```go !! go
# Go Dockerfile
FROM golang:1.21 AS builder
WORKDIR /app
COPY . .
RUN go build -o app
FROM alpine:latest
WORKDIR /root/
COPY --from=builder /app/app .
CMD ["./app"]
```
</UniversalEditor>

### Performance Analysis
- Go binary is small, starts fast, easy to deploy in cloud-native environments
- JS requires Node runtime dependency

### Exercises
- Implement Prometheus metrics collection with Go
- Implement simple health check with JS

---

## 5. Real-time Chat Application

### Project Structure
- WebSocket Communication
- Message Broadcasting

<UniversalEditor title="WebSocket Chat" compare={true}>
```javascript !! js
// JavaScript: ws implementation of WebSocket chat
const WebSocket = require('ws');
const wss = new WebSocket.Server({ port: 8080 });
wss.on('connection', ws => {
  ws.on('message', msg => {
    wss.clients.forEach(client => {
      if (client.readyState === WebSocket.OPEN) {
        client.send(msg);
      }
    });
  });
});
```

```go !! go
// Go: Gorilla WebSocket chat
package main
import (
  "github.com/gorilla/websocket"
  "net/http"
)
var upgrader = websocket.Upgrader{}
func handler(w http.ResponseWriter, r *http.Request) {
  c, _ := upgrader.Upgrade(w, r, nil)
  defer c.Close()
  for {
    _, msg, err := c.ReadMessage()
    if err != nil { break }
    c.WriteMessage(websocket.TextMessage, msg)
  }
}
func main() {
  http.HandleFunc("/ws", handler)
  http.ListenAndServe(":8080", nil)
}
```
</UniversalEditor>

### Performance Analysis
- Go handles connections more efficiently with concurrency
- JS has rich ecosystem, convenient for development

### Exercises
- Implement message persistence with Go
- Implement frontend chat room with JS

---

## 6. Distributed Task Scheduling System

### Project Structure
- Scheduled Tasks
- Distributed Scheduling

<UniversalEditor title="Scheduled Task Comparison" compare={true}>
```javascript !! js
// JavaScript: node-cron scheduled tasks
const cron = require('node-cron');
cron.schedule('* * * * *', () => {
  console.log('Execute once per minute');
});
```

```go !! go
// Go: cron scheduled tasks
package main
import (
  "github.com/robfig/cron/v3"
  "fmt"
)
func main() {
  c := cron.New()
  c.AddFunc("* * * * *", func() { fmt.Println("Execute once per minute") })
  c.Start()
  select{} // Block main thread
}
```
</UniversalEditor>

### Performance Analysis
- Go is suitable for high-concurrency task scheduling
- JS is suitable for lightweight scheduled tasks

### Exercises
- Implement distributed task queue with Go
- Implement task status monitoring with JS

---

> You can choose any project for practical exercises. It's recommended to combine cloud-native and concurrency features to experience Go's engineering advantages. 